Abstract
This research explores the integration of artificial intelligence (AI) in music education through the use of Suno AI, an application that allows users to create songs by inputting prompts. The study involves education students who are tasked with creating a song using Suno AI, analyzing its educational implications, and providing feedback through a structured questionnaire. Suno AI enhances traditional music education by fostering increased engagement, offering personalized learning experiences, and supporting language acquisition, particularly in TESOL contexts. The AI-generated music serves not only as a tool for creative expression but also as a resource for language development, cultural awareness, and collaborative learning. The research employs a mixed-methods approach, combining quantitative data from the questionnaires with qualitative analysis of the students’ experiences. Preliminary findings indicate that Suno AI democratizes music creation, making it accessible to all students regardless of their musical background, while also enhancing multidisciplinary learning and digital literacy. The study demonstrates the potential of AI to create more dynamic, inclusive, and effective learning environments, encouraging the integration of music across various educational disciplines. By highlighting the practical applications and benefits of Suno AI, this research advocates for its broader adoption in educational settings to enrich the learning experience.
Presenters
Ana Martinez HernandezProfesora Titular, Music Education, CES Don Bosco; La Salle Centro Universitario, Madrid, Spain
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Music Education, AI, Higher Education, Composition, Creativity, Music
